Unicity International

🔹 Aligned 40+ cross-functional product engineering team members with the company’s vision and mission, ensuring consistent, scalable delivery across 50+ global markets.

🔹 Spearheaded AI-enabled process optimization, reducing development cycle times by 20% through strategic planning, workflow automation, and intelligent resource allocation.

🔹 Coached and mentored engineers to adopt AI code assistant tools powered by large language models (Copilot, Cursor, Claude Code), driving a 20%+ productivity improvement and accelerating feature delivery.

🔹 Established KPI and OKR frameworks to improve accountability, resulting in measurable gains in delivery predictability, efficiency, and cross-team alignment.

🔹 Partnered with stakeholders and customers to drive data-backed decisions using AI-powered dashboards and analytics, contributing to increased online conversion rates.

🔹 Championed an AI-first culture of innovation by hosting hackathons, leading guild meetings, and surfacing AI opportunities that opened up new revenue streams.

🔹 Leveraged AI-assisted code reviews for pull requests to identify bugs, enforce coding standards, and reduce technical debt while delivering targeted performance improvements.

🔹 Streamlined inter-team collaboration by removing operational bottlenecks, implementing AI-powered meeting transcription, and making key discussions and decisions easily searchable and accessible to all teams.

🔹 Harnessed Amazon Q and WarpAI to conduct AI-driven ROI analysis of engineering tools, platforms, and cloud resources, identifying cost-saving opportunities projected to reduce cloud spend by 20%.

🔹 Enhanced hiring processes to attract and retain top talent experienced with modern AI frameworks and tools, lowering attrition and strengthening team capabilities.

𝐔𝐭𝐢𝐥𝐢𝐳𝐞𝐝: ChatGPT, Grok, Gemini, Slack, Travis-CI, ClickUp

Principal Engineer

🔹 Drove process transformation and architectural improvements to enable data-informed decision-making, scalable systems, and automation readiness.

🔹 Introduced Agile frameworks and transitioned the team to two-week sprints, establishing data-driven performance metrics (velocity tracking, sprint burn-down) to improve forecasting and delivery accuracy.

🔹 Implemented a ticket estimation and velocity tracking system, enabling quantifiable productivity insights and resource allocation optimization.

🔹 Championed automated testing adoption to increase system reliability, reduce regression risks, and create structured data for defect analysis and quality metrics.

🔹 Established a formal code review process, reinforcing standards for maintainability, security, and consistency in large-scale collaborative development.

🔹 Designed a vertical API slicing strategy to improve scalability, fault tolerance, and service isolation.

🔹 Recruited and onboarded new engineering talent, scaling the team’s capacity for innovation and cross-functional delivery.

𝐔𝐭𝐢𝐥𝐢𝐳𝐞𝐝: Slack, Travis-CI, ClickUp

Senior Software Engineer - Technical Lead

🔹 Managed technology operations across 50+ markets, ensuring data consistency, compliance, and interoperability across diverse regulatory environments.

🔹 Collaborated with regional offices in Seoul and Bangkok to align technical solutions with local requirements, enabling market-specific configuration without disrupting centralized data architecture.

🔹 Led the successful migration from Exigo with zero downtime, preserving business continuity and data integrity during a high-risk platform transition.

🔹 Engineered a custom order calculation engine for promotions and coupons, applying rules-based logic to create flexible, data-driven pricing and marketing workflows.

🔹 Integrated with multiple payment processors, gateways, and taxation APIs, enabling automated data flows for financial reconciliation, fraud detection readiness, and compliance reporting.

🔹 Implemented ACH, NACHA, BACS, and SEPA direct credit/debit transfers, standardizing transactional data formats for accurate financial tracking and analytics.

🔹 Built warehouse shipping rules and 3PL integrations, creating structured logistics data pipelines that support delivery forecasting, performance metrics, and optimization modeling.

𝐔𝐭𝐢𝐥𝐢𝐳𝐞𝐝: Slack, Travis-CI

Senior Software Engineer

ZAGG, Inc.

🔹 Supported Sarbanes-Oxley (SOX) compliance by applying governance, risk, and compliance (GRC) principles to manage ethical, legal, and operational risks in financial systems, reinforcing accountability, auditability, and responsible use.

🔹 Contributed to the development of smart devices and firmware integrations with an emphasis on signal processing, embedded data protocols, and cross-platform device interoperability.

🔹 Partnered with engineers from Apple, Samsung, and EA Sports to ensure compliance with platform-specific standards, focusing on reliable data flows and device compatibility.

🔹 Collaborated directly with the owners of Unreal Game Engine to evaluate and optimize data transfer speeds for peripheral device integration.

🔹 Navigated the technical and compliance requirements of the Made for iPhone/iPod/iPad (MFi) program, applying structured data exchange protocols and ensuring interoperability through data standardization.

🔹 Integrated Bluetooth Classic and Bluetooth Low Energy (LE) technologies into peripheral devices, gaining practical experience in wireless data communication and the challenges of real-time data transfer.

🔹 Developed and implemented drivers for the Android Operating System, which required a deep understanding of low-level system interactions and data access methods.

🔹 Developed the first game controller for the iPhone using the Human Interface Device (HID) protocol, enabling seamless data exchange between the peripheral and an SDK that interpreted input data for real-time gameplay.

🔹 Selected and sourced key chips and electronic components based on performance specifications and technical documentation by analyzing and interpreting technical data sheets.

🔹 Conducted rigorous testing of printed circuit boards (PCBs) and prototypes, verifying signal integrity to ensure data accuracy during transmission and data reliability in hardware systems, and even traveled to Hong Kong and China to work on-site with manufacturers.

Senior Software Product Engineer

iFrogz

🔹 Led high-impact systems and integrations that established a robust data foundation for operational efficiency and digital growth.

🔹 Created a mobile app using OCR and Computer Vision to accelerate and enhance accuracy of bin location processing during Cycle Counts.

🔹 Developed and maintained eCommerce platforms generating millions in revenue, and used Jasper Reports for data-driven reporting.

🔹 Leveraged Google Analytics and Omniture to analyze website traffic, user behavior, and conversion funnels, providing actionable insights that informed marketing strategies and improved online performance.

🔹 Designed retrieval and search-optimized MySQL and Firebird databases to effectively manage sales, inventory, and order data, significantly improving query speeds, enabling data analytics, and facilitating BI tool integration.

🔹 Collaborated with overseas manufacturers to standardize data capture processes and normalize fulfillment inputs, ensuring data accuracy for tracking, reporting, and process automation.

🔹 Integrated FedEx Ship Manager and UPS WorldShip to generate structured shipping data, minimizing manual entry errors and enhancing data quality for forecasting and delivery analytics.

🔹 Implemented Electronic Data Interchange (EDI) with major retailers (Walmart, Target, Best Buy, AT&T), enabling seamless structured data exchange and establishing high-integrity transactional data pipelines.

🔹 Facilitated financial and technical audits by providing critical access and log data across ERP, inventory, and sales systems, a key factor contributing to the successful $105M acquisition by Zagg.

🔹 Spearheaded the migration from QuickBooks and Fishbowl to Microsoft Dynamics GP, centralizing operational and financial data under a unified schema to enhance cross-functional data visibility and reporting.

𝐌𝐨𝐫𝐞 𝐒𝐤𝐢𝐥𝐥𝐬: Kohana · CodeIgniter · jQuery · Basecamp · Jira · SVN · Syspro · LESS (Stylesheet Language) · Server Maintenance · PhoneGap

Senior Software Architectural Engineer

The Harleston Law Firm

🔹 Supported the firm through structured information management, client data analysis, and risk evaluation across multiple practice areas.

🔹 Analyzed client records, court documents, and legal filings, applying structured data extraction techniques essential for risk assessment, decision support, and case preparation.

🔹 Assisted attorneys in Criminal Defense, Personal Injury, Business Law, and Bankruptcy Law, fields requiring complex information synthesis, pattern recognition, and strategic evaluation.

🔹 Prepared organized, research-backed case files and legal documents, developing skills in structured documentation, knowledge management, and compliance workflows.

🔹 Participated in client meetings and court appearances, gathering and validating critical information under high-stakes decision-making environments.

🔹 Adapted quickly to changing circumstances when the firm closed unexpectedly, demonstrating resilience, rapid information processing, and operational agility.

𝐒𝐤𝐢𝐥𝐥𝐬: Legal Research · Legal Writing · Case Management · Office Administration

Paralegal

Doughty Street Chambers

🔹 Summer Abroad Program - Roger Williams University School of Law.

🔹 Shadowed Queen's Counsel Barristers to court, including to Her Majesty's High Court of Justice in England and the Central Criminal Court of England and Wales (aka Old Bailey).

Mini-Pupil

Adams Outdoor

🔹 Managed client relationships and sales activities across Monroe, Wayne, and Pike counties, driving targeted advertising campaigns for some of the office’s top accounts in the Poconos region.

🔹 Collaborated with clients to align advertising campaigns with measurable marketing objectives, leveraging audience insights and market data to optimize placements and messaging.

🔹 Developed skills in campaign analytics, audience segmentation, and message optimization.

🔹 Partnered with the graphics team to translate client requirements into targeted, highly personalized and visually compelling campaigns.

🔹 Accompanied field crews on billboard (“Poster” and “Paint”) installations, gaining firsthand knowledge of placement strategy, lease negotiation targets, and legal compliance tracking in the Outdoor advertising space.

𝐒𝐤𝐢𝐥𝐥𝐬: Advertising · Cold Calling · Sales · Negotiation

Account Executive

Cache County Attorney's Office

🔹 Mentored/Supervised by Donald G. Linton, Chief Deputy Attorney.

🔹 Conducted structured research on forensic detection technologies, including polygraphs and voice stress analyzers, evaluating methodologies, accuracy rates, and reliability of truth verification systems.

🔹 Investigated chemical properties, effects, and detection methods for date-rape drugs, synthesizing findings into concise, actionable legal reports.

🔹 Analyzed crime scene video footage with attorneys and law enforcement, identifying patterns, anomalies, and key events to support case strategy.

🔹 Attended court proceedings to observe legal arguments, evidentiary standards, and the decision-making process in real time.

𝐒𝐤𝐢𝐥𝐥𝐬: Legal Research · Legal Writing

Legal Intern

United States Marine Corps: Morale, Welfare & Recreation

𝐒𝐤𝐢𝐥𝐥𝐬: Swim Instruction · Lifeguarding · First Aid

Water Safety Instructor - Civilian (Non-Forces)

As a business thought leader in Artificial Intelligence (AI), I’ve been at the forefront of engineering leadership, spearheading AI integration into core business processes and building scalable software that drives real-world impact.

𝐌𝐲 𝐌𝐢𝐬𝐬𝐢𝐨𝐧

🧭 I bridge the gap between AI’s potential and practical application, focusing on efficiency, revenue, and teams through strategy.

𝐌𝐲 𝐓𝐡𝐫𝐞𝐞 𝐏𝐢𝐥𝐥𝐚𝐫𝐬

📈 Efficiency: I streamline operations, automate processes, and optimize workflows to help businesses move faster and smarter with AI.

💰 Revenue: I leverage AI-driven insights and automation to unlock new revenue streams, improve decision-making, and drive profitability.

👥 Teams: I empower people with AI, enhancing collaboration, productivity, and innovation because technology should amplify human potential, not replace it.

𝐌𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞

🔹 Global Leadership: Creating high-performing, global teams that deliver scalable solutions with AI assistance.

🔹 Strategic Alignment: Aligning AI initiatives with business objectives to bridge vision and execution.

🔹 End-to-End Delivery: Leading AI strategies from ideation to deployment to enhance customer experience and business operations.

🔹 Human-Centered AI: Driving human-in-the-loop AI solutions that build trust and foster a culture of innovation.

🔹 Talent Development: Hiring and cultivating AI talent while fostering continuous upskilling and reskilling so teams can adopt emerging AI tools and stay ahead of technological change.

🔹 AI Education: Equipping stakeholders with AI knowledge to enable informed decision-making and adoption.

🔹 Future-Proofing: Anticipating tech trends and integrating AI for long-term success and adaptability.

🔹 Responsible AI: Applying my legal background to ensure ethical AI, managing risks, compliance, and data governance.

𝐌𝐲 𝐈𝐦𝐩𝐚𝐜𝐭

🏆 Successfully led cross-functional product engineering teams to deliver scalable solutions across 50+ markets.

🏆 Created AI trainings, instituted guild meetings, led hackathons, and crafted roadmaps to guide strategic initiatives.

🏆 Established data-driven KPIs and OKRs to measure success, drive accountability, and ensure alignment.

🏆 Developed AI-powered systems that have significantly improved business operations and sales performance.

🏆 Actively engaged in the AI community, sharing insights and educating on emerging AI technologies.

I am passionate about collaborating with professionals driving AI-powered transformation. Let’s connect and explore how AI can redefine the future of business.

It’s a maze of messy problems that twist and loop back on themselves.

These are “wicked problems.”

And if you’re a business leader pushing AI into your company, you’re going to face all of them whether you realize it or not.

🔹 AI changes too fast for your roadmap to keep up.

🔹 Your team wants efficiency, but fears being replaced.

🔹 You spend big on AI… but can’t prove ROI.

🔹 Your data is scattered, old, or just plain useless.

🔹 People expect AI to explain itself, but it can’t.

🔹 Laws are vague. Ethics are murky. Risks are real.

🔹 Pilot projects work in labs, then fall apart in the real world.

This isn’t about being negative.

It’s about being honest.

Adopting AI is not a tech problem; it’s a leadership problem.

You need to:

🔹 Align AI efforts with real business goals.

🔹 Train every team on the basics of what AI can (and can’t) do.

🔹 Create data systems that are clean, unified, and flexible.

🔹 Build trust with transparency, not blind faith.

🔹 Have a real plan for legal and ethical risks.

🔹 Involve your people, not sideline them.

These wicked problems won’t go away.

But if you face them head-on, they won’t stop you either.

This is the topic of the first edition of my new LinkedIn newsletter.

We’re going deep on the realities of AI adoption. No fluff, no hype.

If you’re serious about building AI that actually works, subscribe and stay tuned.

#AITransformation #AIAdoption #AISystems #WickedProblems #AIBusinessLeaders

Matthew A. Mattson, Esq.

Trailblazing AI-Powered Business Transformation | Accelerating AI Adoption Using Systems Thinking | Driving AI-First Engineering Leadership & Teams | Implementing Customer-Driven AI Solutions That Deliver Real Impact

Lots of businesses are excited about artificial intelligence, but putting it to work isn't just about the tech. It's about dealing with a bunch of com

Open article: The Wicked Problems of AI Adoption by Matthew A. Mattson, Esq. • 5 min read

This Halloween, I’m thinking about cron mazes.

And what they can teach us about Agentic AI.

Mazes are designed.

👉 They have rules, paths, and clear goals.

But what makes them interesting?

👉 They’re unpredictable in practice.

👉 People take wrong turns, get stuck, and double back.

👉 They learn as they go.

Agentic AI behaves the same way.

👉 It moves through structured environments.

👉 It doesn’t see the full map.

👉 It explores, adapts, and figures things out.

👉 Sometimes it loops.

👉 Sometimes it fails.

But each step builds momentum.

The strategy emerges from experience, not a script.

Like a maze-goer muttering, “Didn’t I pass this scarecrow already?”

That’s the beauty of autonomy.

We’re not just building systems that execute commands.

We’re creating agents that discover solutions.

This Halloween, I’m not just thinking seasonal fun.

I’m thinking systems that explore, adapt, and learn from feedback.

Turns out, the corn maze is a pretty great metaphor after all.

What kinds of corn mazes are you navigating this Halloween with Agentic AI?

#AgenticAI #AIAgents #CornMazes #Halloween #GoalDrivenAI #AISearch

Corn Mazes & Agentic AI

Should new developers be restricted from using AI during probation?

I’ve been wrestling with this question.

On one hand, restricting AI makes sense.

👉 It helps confirm that new hires have strong foundations.

👉 It reduces risk when AI is unavailable.

👉 It ensures developers can debug and problem-solve without a crutch.

On the other hand, banning AI feels outdated.

👉 AI is part of the real workflow now.

👉 Fluency with AI is becoming a skill in itself.

👉 If someone can ship high-quality software faster with AI, isn’t that the goal?

The truth may be somewhere in the middle.

I’m leaning toward hybrid evaluations.

👉 Some tasks should be AI-free to test fundamentals.

👉 Other tasks should be AI-enabled to see productivity gains.

That way, I can learn whether a developer both understands code deeply and leverages AI responsibly.

But here’s where I’d love to learn from you.

If you lead teams, how do you approach this problem?

Do you restrict AI for new hires, or embrace it from day one?

#AIFoundations #AIProductivity #NewAIDevelopers #AIFundamentals

I've been wrestling with a question that's becoming increasingly urgent for engineering leaders: should we prohibit new developers from using AI tools

Open article: The New Developer Probationary Problem: Foundation or Productivity? by Matthew A. Mattson, Esq. • 6 min read

The New Developer Probationary Problem: Foundation or Productivity?

I saw a Tin Man costume while walking through the mall this week.

It stopped me in my tracks.

The Tin Man, after all, wasn’t searching for intelligence.
He was searching for a heart.

That’s where we are with Agentic AI today.

We’ve built systems that can act, decide, and execute.
But have we taught them to care?

The Tin Man seized up without care; so can our AI.
A well-oiled machine isn’t just reliable, it’s aligned.

Alignment isn’t about compliance.
It’s about compassion, protection, and intent.

When an AI agent acts, it doesn’t just need to think.
It needs to understand the impact of its actions.

The Tin Man protected his friends and mourned harm.
He was the heart of the group, not just a cog in the journey.

If we want trustworthy AI, we must do the same.
Keep our agents well-oiled, yes, but also well-hearted.

Because our next great challenge isn’t intelligence.
It’s integrity.

Can we build AI that makes us believe it has a heart?

I think we can.
But only if we choose to design for empathy, not just for efficiency.

What does “heart” mean in the AI systems you’re building?

#AgenticAI #AIAgents #AIEmpathy #EthicalAI #ResponsibleAI #TinMan

The Tin Man and the Heart of AI

Most people think if an AI agent runs without errors, it must be healthy.

But unbeknownst to you, that AI agent could actually be a zombie agent.

Zombie AI agents keep running, but the intelligence is gone.

They generate outputs that look polished, but lack real depth.

They repeat tasks mechanically, ignore feedback, and keep moving toward outdated goals.

They create the illusion of progress, but deliver no real impact.

That’s dangerous.

Why?

Because leaders trust them.

Dashboards look fine.

Reports keep coming.

Everything seems alive.

Until a critical moment reveals the truth: nothing meaningful was happening.

I call this the illusion of intelligence.

The causes are simple but devastating.

👉 No fresh data.

👉 Neglected maintenance.

👉 Broken feedback loops.

👉 Goal drift.

And the result is wasted resources, delayed problem discovery, and a loss of trust in AI adoption.

Zombie AI agents are preventable, but only with discipline.

🔹 Audit your systems regularly.

🔹 Measure outcomes, not just activity.

🔹 Keep data fresh.

🔹 Close the loop on feedback.

🔹 Maintain and retrain with care.

AI should amplify human potential, not lull us into false confidence.

Have you ever seen a zombie AI in action?

#AgenticAI #AIAgents #ZombieAIAgents #IllusionOfIntelligence

When AI Agents Become Zombies

We’re dressing up command executors and calling them "agents."

But most can’t think, reflect, or remember what they did yesterday.

That’s not intelligence.

Many AI agents look impressive.

They move, respond, and even say the right things.

But so does a scarecrow in a bowtie.

👉 They lack memory.
👉 They lack continuity.
👉 They lack real agency.

They’re not agents.

They’re Goldfish in a Tux.

Animated, but empty.

Even the Scarecrow in the Wizard of Oz knew something was missing.

He walked and talked, but still said, “If I only had a brain.”

That line hits harder in AI than it should.

Because most agents today don’t even know what they just did.

No recall. No reflection. No learning.

Just token-by-token obedience.

So what does real intelligence need?

Not more prompts or polish.

It needs:

🔹 Memory that persists
🔹 Purpose it understands
🔹 Feedback it learns from

It needs more than movement.

It needs mission.

If you're not building for agentic continuity,

You're just animating straw.

Let’s stop fooling ourselves this Halloween.

Are you building smart agents, or are you just building scarecrows without a brain?

#AgenticAI #AIAgents #GoldfishAI #AIMemory #IntelligentAgents #Scarecrows #Halloween

I sat down this week and realized how much needs to happen before year-end.

The urgency is real, the deadlines are fixed, and time is scarce.

I typically use one tool to keep priorities straight when things get chaotic:

⚡ The MoSCoW Method.

It helps me focus not just on what’s urgent, but on what’s essential.

Here’s how I plan to use it to close the year strong:

🟢 Must Have

👉 These are non-negotiable.
👉 If they don’t get done, the whole system breaks.
👉 Right now, it’s aligning team roles and closing key delivery loops.

🔵 Should Have

👉 These boost performance.
👉 If bandwidth gets tight, they can wait.
👉 We’re tracking latency and modularity across workflows, but not at the cost 👉 of stability.

🟣 Could Have

👉 These are nice-to-haves.
👉 They can add delight or innovation, but they won’t make or break delivery.
👉 Think personality polish or experimental handoffs.

🔴 Won’t Have

👉 This is the hard truth list.
👉 It defines what we won’t chase this year.
👉 In Q4, that’s anything that isn’t directly tied to impact.

Prioritization is how I protect my team’s time, focus, and sanity.

The MoSCoW Method doesn’t just organize, it liberates.

And this week, I realized something else.

This same method works beautifully with Multi-Agent AI Teams, too.

Take a look at the article that I just wrote on how to use the MoSCoW method with Multi-Agent AI Teams.

#MultiAgentAITeams #MultiAgentAISystems #TheMoSCowMethod #AIRolesAndResponsibilities #AIAgents #AgenticAI

Introduction: The Architecture of Collaboration I've been watching AI applications grow more complex, and I've noticed something interesting: Single-A

Open article: The MoSCoW Method Applied: Building Robust Multi-Agent AI Teams by Matthew A. Mattson, Esq. • 9 min read

The MoSCoW Method Applied: Building Robust Multi-Agent AI Teams

AI is not a language everyone speaks yet.

That’s the real challenge behind adoption and upskilling.

When I teach AI literacy, I don’t start with code or models.

I start with stories.

Because when people hear about transformers or neural networks, they often tune out.

But when I say “training an AI model is like a chef perfecting a recipe through trial and tasting,” something clicks.

That moment of recognition builds a bridge between abstract math and human experience.

I call this my Bridge-First Approach.

It’s simple, but powerful:

1. Connect through analogy. Use metaphors that spark curiosity, not confusion.

2. Anchor abstract ideas. Replace jargon with relatable context, e.g. AI as a “pattern recognition engine” is easier to grasp than “supervised feature extraction.”

3. Invite intuition. Explain overfitting as “the student who memorized the textbook but can’t handle real life.” Suddenly, the concept sticks.

Analogies and metaphors don’t simplify intelligence; they amplify understanding.

Accessible communication isn’t a luxury anymore.

It’s the foundation of an informed workforce, ethical governance, and cross-domain innovation.

We can’t afford for only a few to understand the systems shaping our world.

Let’s democratize AI through language people can feel, not fear.

How are you helping your teams build true AI literacy?

#AILiteracy #AIUpskilling #AIReskilling #AILeadership #SystemsThinking

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